Hirschman Lynette, Fort Karën, Boué Stéphanie, Kyrpides Nikos, Islamaj Doğan Rezarta, Cohen Kevin Bretonnel
The MITRE Corporation, Bedford, MA, USA
University of Paris-Sorbonne/STIH Team, Paris, France.
Database (Oxford). 2016 Aug 7;2016. doi: 10.1093/database/baw115. Print 2016.
Crowdsourcing is increasingly utilized for performing tasks in both natural language processing and biocuration. Although there have been many applications of crowdsourcing in these fields, there have been fewer high-level discussions of the methodology and its applicability to biocuration. This paper explores crowdsourcing for biocuration through several case studies that highlight different ways of leveraging 'the crowd'; these raise issues about the kind(s) of expertise needed, the motivations of participants, and questions related to feasibility, cost and quality. The paper is an outgrowth of a panel session held at BioCreative V (Seville, September 9-11, 2015). The session consisted of four short talks, followed by a discussion. In their talks, the panelists explored the role of expertise and the potential to improve crowd performance by training; the challenge of decomposing tasks to make them amenable to crowdsourcing; and the capture of biological data and metadata through community editing.Database URL: http://www.mitre.org/publications/technical-papers/crowdsourcing-and-curation-perspectives.
众包越来越多地被用于自然语言处理和生物编目任务。尽管众包在这些领域有许多应用，但关于该方法及其在生物编目的适用性的高级别讨论较少。本文通过几个案例研究探讨了用于生物编目的众包，这些案例突出了利用“群体”的不同方式；这些案例引发了关于所需专业知识类型、参与者动机以及与可行性、成本和质量相关问题的讨论。本文源自于在第五届生物创意大会（2015年9月9日至11日，塞维利亚）举办的一场小组会议。该会议由四个简短演讲及随后的讨论组成。在演讲中，小组成员探讨了专业知识的作用以及通过培训提高群体表现的潜力；将任务分解以使其适合众包的挑战；以及通过社区编辑捕获生物数据和元数据。数据库网址：http://www.mitre.org/publications/technical-papers/crowdsourcing-and-curation-perspectives 。
